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When gauge metric values can be set at collection time, we don't really need to store them in the shared dict or even in per-worker local state. For cases like this, it might be helpful to support metrics that call a function at collection time, similar to callback metrics in Java or custom collectors in Python.
When gauge metric values can be set at collection time, we don't really need to store them in the shared dict or even in per-worker local state. For cases like this, it might be helpful to support metrics that call a function at collection time, similar to callback metrics in Java or custom collectors in Python.
More context: #168 (comment)
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